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The Integrated Dataset of Cat (Felis catus) Roadkill by Korea Roadkill Observation System
Sooahn Heo, Il Ryong Kim, Sehee Kim, Hanbi Lee, Euigeun Song
GEO DATA. 2023;5(4):298-303.   Published online December 22, 2023
DOI: https://doi.org/10.22761/GD.2023.0042
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  • 16 Download
AbstractAbstract PDF
The incidence of roadkill and habitat fragmentation caused by human development and road networks is on the rise. Cats primarily consume artificial food and engage in hunting near urban areas. Their numbers have an impact on the ecosystem, and cat roadkill incidents are also prevalent. In South Korea, roadkill observations are conducted by the road management agency and the Korea Roadkill Observation System. Over a 3-year period, the number of cat roadkill incidents resulted in 19,973 recorded cases, and the highest rate was in Busan Metropolitan City. Cat roadkill incidents were most prevalent during October and November. Also When analyzed at the local government level, Dangjin-si, Yangpyeong-gun, and Busan Metropolitan City exhibited the highest concentrations. This research offers essential insights for managing the cat population and mitigating cat roadkill occurrences.
Investigation of Wildlife Crossing Structures in South Korea
Euigeun Song, Sooahn Heo, Il Ryong Kim, Sehee Kim, Hanbi Lee
GEO DATA. 2023;5(4):273-276.   Published online December 22, 2023
DOI: https://doi.org/10.22761/GD.2023.0041
  • 383 View
  • 31 Download
AbstractAbstract PDF
Roads, railways and infrastructure are constructed with consideration of their environmental impacts, especially habitat fragmentation. Wildlife crossing structures increase the permeability of roads and other linear infrastructures for wildlife by allowing animals to safely cross under or over roads and by reducing the risk of wildlife-vehicle collosions. We investigated the location and type of 564 wildlife crossing structures in South Korea. Between April and October 2023, we identified 365 overpasses and 199 underpasses of wildlife crossing structures respectively. Gyeonggi-do and Gyeongsangbuk-do had the largest number of wildlife crossing structures. This study can provide basic information for the effective management of wildlife crossing structures.
Article
AI Dataset for Road Detection using KOMPSAT Images
Hoonhee Lee, Han Oh
GEO DATA. 2022;4(1):43-48.   Published online March 31, 2022
DOI: https://doi.org/10.22761/DJ2022.4.1.005
  • 374 View
  • 21 Download
AbstractAbstract PDF
Information on shape and type of road present in an optical image of satellite is useful for digital mapping and monitoring of road changes. Processing and structuring optical image data collected from payloads mounted on KOMPSAT 3 and 3A can accelerate the development of road detection algorithms and the extraction of road information using them. In particular, if it is built with a learning dataset for AI (Artificial Intelligence) prepared to apply deep learning technology, the latest artificial intelligence technology in the field of computer science can be spun off to the field of satellite image-based road detection to attempt a wide range of analysis. Korea Aerospace Research Institute constructed an image dataset for AI learning using satellite optical images with Korean companies, and this paper explains the type and size of datasets along with examples of the use of the dataset. The established data can be used through the website, aihub.or.kr.

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